The Impact of Digital Technology on Agricultural Production Efficiency in Sichuan Province

Authors

  • Ting Guo Southwest Petroleum University, Chengdu, 610500, China Author

DOI:

https://doi.org/10.63313/EPP.9051

Keywords:

Digital Technology, Agricultural Production Efficiency, Data Envelopment Analysis, Malmquist Index, Sichuan Province

Abstract

This study evaluates agricultural production efficiency in 21 cities and prefectures of Sichuan Province and examines its relationship with digital technology. Output-oriented DEA-BCC/CCR models measure static efficiency, and the Malmquist index decomposes productivity change. A composite digital index covers infrastructure, digital-industry development, and digital financial inclusion. Mean comprehensive efficiency rose from 0.848 in 2011 to 0.966 in 2021. Mean total factor productivity for 2014-2021 was 1.0903 and was driven mainly by technical progress. In the controlled Tobit model, digital technology remained positively associated with production efficiency. The results support targeted investment in rural digital infrastructure, agricultural digital services, inclusive finance, and interregional coordination.

References

[1] Banker, R.D., Charnes, A. and Cooper, W.W. (1984) Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30, 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078

[2] Basso, B. and Antle, J. (2020) Digital Agriculture to Design Sustainable Agricultural Systems. Nature Sustainability, 3, 254-256. https://doi.org/10.1038/s41893-020-0510-0

[3] Birner, R., Daum, T. and Pray, C. (2021) Who Drives the Digital Revolution in Agriculture? Applied Economic Perspectives and Policy, 43, 1260-1285. https://doi.org/10.1002/aepp.13145

[4] Chandio, A.A., Ozdemir, D., Gokmenoglu, K.K., Usman, M. and Jiang, Y. (2024) Digital Agriculture for Sustainable Development in China. Technology in Society, 76, 102479. https://doi.org/10.1016/j.techsoc.2024.102479

[5] Charnes, A., Cooper, W.W. and Rhodes, E. (1978) Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2, 429-444. https://doi.org/10.1016/0377-2217(78)90138-8

[6] Coelli, T.J., Rao, D.S.P., O'Donnell, C.J. and Battese, G.E. (2005) An Introduction to Efficiency and Productivity Analysis. 2nd Edition, Springer, New York. https://doi.org/10.1007/b136381

[7] Deichmann, U., Goyal, A. and Mishra, D. (2016) Will Digital Technologies Transform Agriculture in Developing Countries? Agricultural Economics, 47, 21-33. https://doi.org/10.1111/agec.12300

[8] Färe, R., Grosskopf, S., Norris, M. and Zhang, Z. (1994) Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries. American Economic Review, 84, 66-83.

[9] Fielke, S., Taylor, B. and Jakku, E. (2020) Digitalisation of Agricultural Knowledge and Advice Networks. Agricultural Systems, 180, 102763. https://doi.org/10.1016/j.agsy.2019.102763

[10] Klerkx, L., Jakku, E. and Labarthe, P. (2019) A Review of Social Science on Digital Agriculture, Smart Farming and Agriculture 4.0. NJAS - Wageningen Journal of Life Sciences, 90-91, 100315. https://doi.org/10.1016/j.njas.2019.100315

[11] McDonald, J. (2009) Using Least Squares and Tobit in Second Stage DEA Efficiency Analyses. European Journal of Operational Research, 197, 792-798. https://doi.org/10.1016/j.ejor.2008.07.039

[12] McFadden, J., Casalini, F., Griffin, T. and Antón, J. (2022) The Digitalisation of Agriculture: A Literature Review and Emerging Policy Issues. OECD Food, Agriculture and Fisheries Papers, No. 176. https://doi.org/10.1787/285cc27d-en

[13] Simar, L. and Wilson, P.W. (2007) Estimation and Inference in Two-Stage, Semi-Parametric Models of Production Processes. Journal of Econometrics, 136, 31-64. https://doi.org/10.1016/j.jeconom.2005.07.009

[14] Tobin, J. (1958) Estimation of Relationships for Limited Dependent Variables. Econometrica, 26, 24-36. https://doi.org/10.2307/1907382

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Published

2026-08-24

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Articles

How to Cite

The Impact of Digital Technology on Agricultural Production Efficiency in Sichuan Province. (2026). Economics and Public Policy, 2(3), 45–54. https://doi.org/10.63313/EPP.9051